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MicroRNAs

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Urinary exosomal viral microRNA as a marker of BK virus nephropathy in kidney transplant recipients.

PloS one
OBJECTIVE: Bkv-miR-B1-5p, one of the microRNAs encoded by BK virus, was recently reported to be elevated in the blood among the patients with BK virus nephropathy (BKVN). Urinary exosome was suggested to be a possible source of biomarker for kidney d...

Serum microRNA panel excavated by machine learning as a potential biomarker for the detection of gastric cancer.

Oncology reports
Early detection of gastric cancer (GC) is crucial to improve the therapeutic effect and prolong the survival of patients. MicroRNAs (miRNAs) are a group of small non-protein-coding RNAs that function as repressors of diverse genes. We aimed to identi...

Development and validation of a bioanalytical method for quantification of LNA-i-miR-221, a 13-mer oligonucleotide, in rat plasma using LC-MS/MS.

Journal of pharmaceutical and biomedical analysis
LNA-i-miR-221, a 13-mer oligonucleotide, is a new miR-221 inhibitor that could be used as a novel drug for multiple myeloma. Herein, an ion-pair reversed phase liquid chromatography-tandem mass spectrometry (LC-MS/MS) method has been developed and va...

Synthetic Ion Channels and DNA Logic Gates as Components of Molecular Robots.

Chemphyschem : a European journal of chemical physics and physical chemistry
A molecular robot is a next-generation biochemical machine that imitates the actions of microorganisms. It is made of biomaterials such as DNA, proteins, and lipids. Three prerequisites have been proposed for the construction of such a robot: sensors...

Meta-Path Methods for Prioritizing Candidate Disease miRNAs.

IEEE/ACM transactions on computational biology and bioinformatics
MicroRNAs (miRNAs) play critical roles in regulating gene expression at post-transcriptional levels. Numerous experimental studies indicate that alterations and dysregulations in miRNAs are associated with important complex diseases, especially cance...

Effect of abiotic and biotic stress factors analysis using machine learning methods in zebrafish.

Comparative biochemistry and physiology. Part D, Genomics & proteomics
In order to understand the mechanisms underlying stress responses, meta-analysis of transcriptome is made to identify differentially expressed genes (DEGs) and their biological, molecular and cellular mechanisms in response to stressors. The present ...

A novel method to identify pre-microRNA in various species knowledge base on various species.

Journal of biomedical semantics
BACKGROUND: More than 1/3 of human genes are regulated by microRNAs. The identification of microRNA (miRNA) is the precondition of discovering the regulatory mechanism of miRNA and developing the cure for genetic diseases. The traditional identificat...

DRMDA: deep representations-based miRNA-disease association prediction.

Journal of cellular and molecular medicine
Recently, microRNAs (miRNAs) are confirmed to be important molecules within many crucial biological processes and therefore related to various complex human diseases. However, previous methods of predicting miRNA-disease associations have their own d...

Improving the Quality of Positive Datasets for the Establishment of Machine Learning Models for pre-microRNA Detection.

Journal of integrative bioinformatics
MicroRNAs (miRNAs) are involved in the post-transcriptional regulation of protein abundance and thus have a great impact on the resulting phenotype. It is, therefore, no wonder that they have been implicated in many diseases ranging from virus infect...

Clustering and Candidate Motif Detection in Exosomal miRNAs by Application of Machine Learning Algorithms.

Interdisciplinary sciences, computational life sciences
BACKGROUND: The clustering pattern and motifs give immense information about any biological data. An application of machine learning algorithms for clustering and candidate motif detection in miRNAs derived from exosomes is depicted in this paper. Re...